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Machine learning in prediction of stock market indicators based on historical data and data from Twitter sentiment analysis.
Ch. 9.3. P. 440-444.
Porshnev A., Redkin I. E., Shevchenko A. V.
Development of linguistic technologies and penetration of social media provide powerful possibilities to investigate users’ moods and psychological states of people. In this paper we discussed possibility to improve accuracy of stock market indicators predictions by using data about psychological states of Twitter users. For analysis of psychological states we used lexicon-based approach, which allow us to evaluate presence of eight basic emotions in more than 755 million tweets. The application of Support Vectors Machine and Neural Networks algorithms to predict DJIA and S&P500 indicators are discussed.
In book
Los Alamitos : IEEE Computer Society, 2013
Porshnev Alexander, Redkin Ilya, , in : Analysis of Images, Social Networks and Texts. Vol. 436: 3rd International Conference on Analysis of Images, Social networks, and Texts.: NY : Springer, 2014. Ch. 19. P. 190-197.
The question about possibilities to use Twitter users’ moods to increase accuracy of stock price movement prediction draws attention of many researchers. In this paper we examine the possibility of analyzing Twitter users’ mood to improve accuracy of predictions for Gold and Silver stock market prices. We used a lexicon-based approach to categorize the mood ...
Added: November 21, 2014
Improving prediction of stock market indices by analyzing the psychological states of Twitter users.
Porshnev A., Redkin I. E., Shevchenko A. V., / Высшая школа экономики. Series WP BRP "Economics/EC". 2013. No. 22.
In our paper, we analyze the possibility of improving the prediction of stock market indicators by conducting a sentiment analysis of Twitter posts. We use a dictionary-based approach for sentiment analysis, which allows us to distinguish eight basic emotions in the tweets of users. We compare the results of applying the Support Vector Machine algorithm ...
Added: December 25, 2013
Porshnev A., Редькин И. Е., Karpov N., , in : Information Retrieval. 8th Russian Summer School, RuSSIR 2014, Nizhniy, Novgorod, Russia, August 18-22, 2014, Revised Selected Papers. Vol. 505.: Switzerland : Springer, 2015. Ch. 10. P. 297-306.
The issue of using Twitter data to increase the prediction rate of stock price movements draws attention of many researchers. In this paper we examine the possibility of analyzing Twitter users’ emoticons to improve accuracy of predictions for DJIA and S&P500 stock market indices. We analyzed 1.6 billion tweets downloaded from February 13, 2013 to ...
Added: February 18, 2016
Akhremenko A. S., Ilya Filippov, Yureskul E., , in : 2020 International Conference on Engineering Management of Communication and Technology (EMCTECH), 20-22 October 2020, Vienna, Austria. : IEEE, 2020. P. 1-7.
In this paper we present the results of computational experiments based on a novel agent-based communication model of Twitter activity. The model was designed specifically for analyzing the dynamics of communication between competing ideological positions, which sets the model apart from existing modelling literature. The model incorporates network structures into an agent-based framework; the nodes ...
Added: December 13, 2020
Zakharov D., Dogonasheva O., Гуткин Б. С., , in : 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR). : IEEE Xplore, 2020. P. 261-264.
Added: October 12, 2020
Козлов А. А., Vlasov A., Научно-исследовательский финансовый институт. Финансовый журнал 2019 Т. 47 № 1 С. 76-87
In the field of cryptoeconomics the Ethereum (Ethereum Foundation) project gave opportunity to create “own” cryptocurrency – new token based on its smart-contract platform to everyone without lowlevel programming skills. Then it became obvious that tokens could be used for crowdfunding as the Ethereum did in 2014. Unregulated and easy to access such scheme became popular among related to ...
Added: November 5, 2020
V. V. Klinshov, Smelov P. S., Kirillov S. Y., Chaos 2023 Vol. 33 No. 6 Article 061101
Finite-size effects may significantly influence the collective dynamics of large populations of neurons. Recently, we have shown that in globally coupled networks these effects can be interpreted as additional common noise term, the so-called shot noise, to the macroscopic dynamics unfolding in the thermodynamic limit. Here, we continue to explore the role of the shot ...
Added: December 4, 2023
Teplova T., Sokolova T., Tomtosov A. et al., Журнал Новой экономической ассоциации 2022 Т. 1 № 53 С. 53-84
Abstract. In our paper, for the first time, we examine the influence of the sentiment of private investors in social networks on the trade characteristics of stocks in the Russian market. Monthly return rates and trading volumes are analyzed under the control of financial indicators and indicators of the quality of corporate governance of stock ...
Added: April 5, 2022
Goncharov Dmitry, Nechai Valerii, , in : Digital Transformation and Global Society. Second International Conference, DTGS 2017, St. Petersburg, Russia, June 21–23, 2017, Revised Selected Papers. : Cham : Springer, 2017. P. 270-281.
This article explores the map of political preferences of Russian Twitter users in the wake of March 2017 anti-corruption protests. So far there is little research on the political aspects of Twitter in Russia and our paper seeks to fill this gap in the scholarship. It is based on content analysis of over 45,000 tweets ...
Added: March 8, 2018
Cham : Springer, 2019
This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data ...
Added: October 17, 2019
Akhremenko A. S., Stukal D., Petrov A., Полис. Политические исследования 2020 № 2 С. 73-91
Social media can act as environments that accumulate and concentrate protest sentiment before it brings people to the streets. The social ties that connect people online are similar to their offline ties, and their structure can affect the diffusion of both the protest-related information and the protest itself. In addition, social media can serve as ...
Added: May 26, 2020
Milovidov S., Артикульт 2022 № 4(48) С. 36-48
This article has analyzed the artworks, the general creative principles, and approaches connected with machine learning and neural networks. The idea that the computer can replace humans for deciding routine, algorithmic, and even analytical tasks, has raised the question about the uses of machines for creative jobs. This process forms new possibilities, non-obvious images, themes, ...
Added: October 19, 2022
Goncharov D. V., Nechai V., Полития: Анализ. Хроника. Прогноз 2018 № 1 С. 65-81
Хотя по числу пользователей Твиттер заметно уступает другим действующим в нашей стране социальным сетям (прежде всего таким, как ВКонтакте и Facebook), его общественная и политическая значимость довольно велика, что обусловлено как техническими особенностями этой сети, так и спецификой общественной и политической коммуникации в современной России. На фоне жесткого государственного контроля над ключевыми медиа Твиттер представляет ...
Added: March 8, 2018
Malafeev A., Nikolaev K., , in : Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science. Vol. 1086.: Springer, 2020. P. 154-159.
In this paper, a deep learning method study is conducted to solve a new multiclass text classification problem, identifying user interests by text messages. We used an original dataset of almost 90 thousand forum text messages, labeled for ten interests. We experimented with different modern neural network architectures: recurrent and convolutional, as well as simpler ...
Added: November 7, 2019
Arkhipova M., Экономика региона 2022 Т. 18 № 2 С. 581-594
The article examines new methodologies for modelling crop yield in agricultural regions of Russia based on the use of remote capabilities to get information on the field state. The proposed approach can be applied to develop indicator systems and create methodological platforms and models necessary to obtain more accurate estimates. In comparison with the traditional ...
Added: January 12, 2023
Osipov D., Евразийский филологический вестник 2023 No. 2 P. 21-39
The metaverse is a shared, virtual space, accessible to users worldwide, offering a platform for global interaction. The physical barriers of geographical location and time are non-existent, allowing for seamless connectivity and interaction. Language barriers within and between metaverses present substantial impediments to fluid interaction and collaboration. Failure to address this linguistic divergence can stifle ...
Added: March 19, 2024
Nazarova V., Ульзутуева Б. Д., Управление финансовыми рисками 2016 № 1 (45) С. 42-57
The first part of the issue gives general information about foreign exchange market (FOREX), review of forecasting foreign exchange rate is given. In addition we will consider the new model of nonlinear analysis to give a broader theoretical basis to the research - an artificial neural network (ANN).The nonlinear analysis and the ANN is still ...
Added: February 13, 2017
Arkhangelskaya I., В кн. : Журналистика как важный фактор международного сотрудничества: векторы развития. Сборник материалов международной научнопрактической конференции кафедры журналистики 13 марта 2018 года. : Н. Новгород : Изд-во ННГУ им. Н.И. Лобачевского, 2018. С. 43-52.
Social media are presented as a part of media landscape and mass communication. Their specific features: global and niche character, visualization, and interactivity, are under consideration. The paper analyzes political discourse of Donald Trump in Twitter (2016 – 2018). As a result, the author concludes that there should be a wide discussion on formalization of ...
Added: April 2, 2018
Akopov A. S., Аудит и финансовый анализ 2010 № 3 С. 310-317
In work the developed model of adaptive management by the vertically integrated companies based on the system approach supporting the mechanism of an operational management in a uniform cycle of strategic planning, within the limits of faster time is presented. Thus for a finding of optimum values of operating parameters special algorithms of a class ...
Added: September 28, 2012
Pushkarev E., Вестник Южно-Уральского государственного университета. Серия: Лингвистика 2015 Т. 12 № 4 С. 56-60
The paper theorizes on the general architectonics of idealized cognitive models (ICMs) and their involvement in metonymy and metaphor. The article posits that an ICM's structure should reflect the architecture of the neural network/s engaged in processing of a given concept. The ICM nodes, or cogs, construct a complex, hierarchically organized neural connections, with the ...
Added: December 8, 2015
Zunin V., Romanov A., Проблемы разработки перспективных микро- и наноэлектронных систем (МЭС) 2021 № 2 С. 83-90
The paper provides an overview of the current state of the implementation of neural networks and their methods of execution. A detailed description of the main components of the Intel® OpenVINO ™ Toolkit for executing neural networks on various Intel hardware platforms (CPU, GPU, Neural Compute Stick 2) is considered. The works in which this ...
Added: February 15, 2023
Pospelov I. G., В кн. : III Моисеевские чтения: Культура и гуманитарные проблемы современной цивилизации: доклады и материалы Общероссийской (национальной) научной конференции. Москва, 11–12 марта 2020 г. : М. : Издательство Московского гуманитарного университета, 2020. Гл. 1. С. 3-10.
Текст опирается в основном на главу "Моделирование экономических структур" (Поспелов, 2003). Описанная в главе 11.2 книги система ЭКОМОД базируется в значительной степени на материале курса лекций "Системный анализ рыночной экономики", который я долгое время продолжаю читать в МФТИ (Системный анализ, 2018). В этой брошюре, в частности, более подробно и последовательно, чем в первой из названных ...
Added: December 8, 2020
Semenenko M. G., Kniazeva I. V., Beckel L. S. et al., , in : IOP Conference Series: Materials Science and Engineering, Volume 537, Issue 3. Vol. 537. Issue 3.: Institute of Physics Publishing (IOP), 2019.
Added: October 20, 2021
Rzaev E., Khanaev A., Amerikanov A., , in : 2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). : IEEE, 2021. P. 719-723.
Added: July 4, 2021